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Netskope One DLP On Demand integrates with Google Cloud Agent Gateway

Source Decision Insights Coverage Published April 26, 2026 Companies 3
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3 companies named across 4 categories, one of 204 articles referencing Netskope. Previous coverage: Netskope Threat Labs details macOS ClickFix AppleScript stealer (Apr 2026).

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Information Technology / Software & Services / IT Services / Data Processing & Outsourced Services

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Google Cloud introduced Agent Gateway within its Gemini Enterprise Agent Platform, aiming to govern and secure AI agent traffic at the cloud layer, and Netskope announced an integration that invokes Netskope One DLP On Demand inline to inspect and enforce policies as data moves.

Research Overview

The blog frames AI agent workloads as a different pattern of data handling than traditional applications, emphasizing that agents generate, process, route, and act on information across service boundaries.

It argues that data loss prevention policies need to operate where agent traffic passes so that protections apply when sensitive data moves through these workflows.

Product Update

At Google Cloud Next 2026, Google announced Agent Gateway as part of the Gemini Enterprise Agent Platform, described as a service for governing and securing AI agent traffic.

Netskope said its Netskope One DLP On Demand can be invoked inline with Agent Gateway to inspect traffic at the moment data moves through AI workloads and enforce data security policies already built by teams.

Key Findings

The integration is presented with three outcomes: visibility via real-time pipeline inspection, enforcement via protective actions that can block or alert about sensitive data in motion, and efficiency through reuse of existing Netskope One DLP policies and classifiers.

The blog also states that Netskope One DLP On Demand supports carrying forward compliance-oriented policies such as HIPAA and GDPR without requiring new configurations or duplicated management for profiles and incidents.

Technical Breakdown

Netskope One DLP On Demand is described as using REST APIs to integrate data protection directly into custom applications and workloads, rather than wrapping controls outside a workflow.

The blog links the Google Cloud integration to Google’s Service Extensions framework, which it says allows custom code to be inserted directly into the data path.

Operational Impact

According to the blog, Netskope One DLP On Demand extends inspection and enforcement to Google Cloud agent pipelines and other described environments, including cloud-native development workflows and partner data exchanges.

It presents the approach as DLP enforcement at the Google Cloud layer inside the AI pipeline, intended to keep data governance aligned with agent traffic as agentic workloads expand in Google Cloud.

This blog describes Google Cloud’s Agent Gateway and Netskope’s Netskope One DLP On Demand integration to provide inline inspection and policy enforcement for AI agent traffic, using Service Extensions and REST API-based DLP integration. Blog Signals brief is a fact-based summary of the vendor blog.

Blog post, originally published by Tobias Pischl at netskope.com.

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